Data Analyst Power Bi

Spandana Manbol

Data Analyst

LinkedIn: www.linkedin.com/in/spandana-manbol-84805b212

Phone: 940-***-**** - Email: ************@*****.*** Professional Summary

Data Analyst with two years of experience, including work at Wipro, specializing in SQL, Python, and AWS cloud solutions. Experienced in data modeling, ETL processes, and business intelligence tools like Power BI, Collibra and Tableau to support data- driven decision-making. Led cloud-based initiatives that improved data accessibility and contributed to a 10% increase in sales. Skilled in automating reporting processes, optimizing workflows, and collaborating with teams to improve efficiency. Strong analytical skills with a focus on delivering actionable insights to enhance business performance. Skills

Category Skills

Programming & Scripting Python, R, SQL, NoSQL, PySpark Data Visualization Power BI, Tableau, Google Looker, Matplotlib Data Analytics Data Manipulation, Data Cleaning, Data Visualization, Exploratory Data Analysis (EDA)

Machine Learning & AI Predictive Modeling, Statistical Analysis, Data Mining, Natural Language Processing (NLP), Time Series Analysis

Data Engineering & Management ETL Processes, Data Warehousing, Database Management, Data Pipelines

Tools & Technologies Microsoft Excel (Pivot Tables, VLOOKUP), Jupyter Notebook, AWS, Azure, Power Automate, SAS Enterprise Miner, Databricks, PowerPoint, Agile Methodologies

Soft Skills Strong Communication, Adaptability, Team Collaboration, Attention to Detail, Storytelling with Data, Organizational Skills Experience

Research Analyst

Aug 2024 – Dec 2024

UNT – Denton, Texas

• Analyzed EV adoption trends using SQL to query and process large datasets, ensuring data accuracy and consistency.

• Developed and optimized SQL queries for data extraction, transformation, and loading (ETL) from multiple sources, improving data accessibility.

• Performed sentiment analysis using Python (NLP libraries: VADER, TextBlob, NLTK, SpaCy) to assess consumer opinions on EVs from Twitter and Reddit.

• Built interactive dashboards in Tableau and Power BI to visualize EV adoption trends and sentiment analysis insights for better decision-making.

• Conducted exploratory data analysis (EDA) using Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly) to identify patterns, correlations, and anomalies.

• Applied machine learning models (GBM, Bass Diffusion, Uncertain Bass) to predict EV adoption trends, improving forecast reliability.

• Used Collibra to manage data, improving its organization, quality, and compliance, while making it easier to access and use across the company.

• Automated data processing pipelines using Python and SQL, reducing manual effort and improving workflow efficiency Data Analyst

October 2021 to December 2022

Wipro - Hyderabad, Telangana

• Implemented cloud computing solutions using AWS S3 for data storage and real-time analytics, improving data accessibility, scalability, and reducing infrastructure costs.

• Automated monthly reports, created data update alerts using Power Automate, reducing manual effort by over 15 hours per month.

• Optimized repetitive data analysis by leveraging Python and SQL, enhancing KPI performance, resulting in a 10% increase in sales.

• Conducted in-depth statistical and financial analysis using Power BI, DAX, and Power Query to identify trends, refine pricing strategies and communicate the data insights with stakeholders.

• Used SQL queries to extract, clean and transform data.

• Performed data cleaning, statistical analysis and predictive models like regression for price optimization and resource planning.

• Utilized Collibra to streamline data management processes, ensuring better data quality, easier access, and compliance with regulations.

• Extracted, cleaned, and transformed large data using SQL, pandas, and ETL process, integrating them into AWS Redshift to enable real-time reporting and identify patterns in inventory turnover and customer purchasing behavior.

• Collaborated with cross-functional teams, including finance, operations, and marketing, to align data insights with organizational goals, enhancing strategic decision-making. Data Science Intern

May 2021 to September 2021

Ep soft technologies - Hyderabad, Telangana

• Transformed raw data into features for ML algorithms.

• Collaborated with product managers and engineers on data collection methods for improving accuracy of predictions.

• Analyzed large datasets to uncover insights, trends and patterns using Python, R, SQL and Tableau.

• Conducted exploratory data analysis on various datasets to determine relationships between variables.

• Assisted in developing automated pipeline for ETL process from multiple sources into single database platform. Education

Master of Science (M.S.) : Data Science, December 2024 University of North Texas - Denton, TX, US

GPA: 3.6

Relevant Coursework

• APPL MACHINE LEARNING • DATA SCIENCE I

• ANALYTICS 1 • DATA ANALYTICS II

• VISUALIZATION

Bachelor of Science (B.S.) : Computer Science, May 2022 KL university - Hyderabad

Projects

Electric Vehicle Adoption Trends and Consumer Sentiment Analysis We analyzed EV adoption trends using a combination of forecasting models (Bass Diffusion, GBM, Uncertain Bass) and sentiment analysis from Twitter and Reddit. By integrating quantitative and qualitative methods, we enhanced forecast reliability and gained deeper insights into consumer behavior.

Healthcare Data Analysis: Predicting Disease Trends Analyzed hospital records and patient history to identify patterns in disease outbreaks using SQL and Python. Applied time-series forecasting to predict future outbreaks and trends. Developed interactive dashboards in Power BI to support data-driven decision-making in healthcare. Sales Performance Analysis

Analyzed historical sales data to uncover trends and key revenue drivers using SQL and Python. Conducted exploratory data analysis (EDA) to identify patterns and applied predictive modeling to forecast future sales. Developed interactive dashboards in Power BI/Tableau to provide actionable insights for stakeholders.

Certifications

• Microsoft Certified: Power BI Data Analyst Associate

• Data Camp Certified: Manipulating Time Series Data in Python, Data Manipulation with pandas, Introduction to Python

• Microsoft Certified: Azure Fundamentals

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